Zobrazeno 1 - 10
of 821
pro vyhledávání: '"Wang, Ruoxi"'
Autor:
Wang, Ruoxi, Allahverdian, Amin, Colombini, Smilla, Durand-Brousseau, Nathan, Marroquın, Kevin, Keller, James, Sous, John, Prem, Abhinav, Grant, Edward
Prethermalization occurs as an important phase in the dynamics of many-body systems when strong coupling drives a quasi-equilibrium in a subspace separated from the thermodynamic equilibrium by the restriction of a gap in energy or other conserved qu
Externí odkaz:
http://arxiv.org/abs/2406.08433
Autor:
Gui, Huan, Wang, Ruoxi, Yin, Ke, Jin, Long, Kula, Maciej, Xu, Taibai, Hong, Lichan, Chi, Ed H.
Learning feature interaction is the critical backbone to building recommender systems. In web-scale applications, learning feature interaction is extremely challenging due to the sparse and large input feature space; meanwhile, manually crafting effe
Externí odkaz:
http://arxiv.org/abs/2311.05884
Autor:
Zhou, Jiawei, Ghose, Bishwajit, Wang, Ruoxi, Wu, Ruijun, Li, Zhifei, Huang, Rui, Feng, Da, Feng, Zhanchun, Tang, Shangfeng
Publikováno v:
Journal of Medical Internet Research, Vol 22, Iss 11, p e21099 (2020)
BackgroundGreat efforts have been made to prevent the spread of COVID-19, including national initiatives to promote the change of personal behaviors. The lessons learned from the 2003 SARS outbreak indicate that knowledge and attitudes about infectio
Externí odkaz:
https://doaj.org/article/400e99571cdc4c81b911e6fe6c4c8025
Publikováno v:
Journal of Medical Internet Research, Vol 21, Iss 11, p e16942 (2019)
Externí odkaz:
https://doaj.org/article/ed033d604e7645dd971aa472d495377d
Autor:
Ding, Kaize, Liang, Albert Jiongqian, Perrozi, Bryan, Chen, Ting, Wang, Ruoxi, Hong, Lichan, Chi, Ed H., Liu, Huan, Cheng, Derek Zhiyuan
Learning expressive representations for high-dimensional yet sparse features has been a longstanding problem in information retrieval. Though recent deep learning methods can partially solve the problem, they often fail to handle the numerous sparse
Externí odkaz:
http://arxiv.org/abs/2305.17386
Autor:
Coleman, Benjamin, Kang, Wang-Cheng, Fahrbach, Matthew, Wang, Ruoxi, Hong, Lichan, Chi, Ed H., Cheng, Derek Zhiyuan
Publikováno v:
Proceedings of the 37th Annual Conference on Neural Information Processing Systems (NeurIPS 2023) 56234-56255
Learning high-quality feature embeddings efficiently and effectively is critical for the performance of web-scale machine learning systems. A typical model ingests hundreds of features with vocabularies on the order of millions to billions of tokens.
Externí odkaz:
http://arxiv.org/abs/2305.12102
Publikováno v:
Zhongguo quanke yixue, Vol 27, Iss 16, Pp 2033-2038 (2024)
Non-alcoholic fatty liver disease (NAFLD) is currently the most common chronic liver disease worldwide, its close correlation with metabolic disorders has been demonstrated in numerous studies in recent years and an expert panel has proposed renaming
Externí odkaz:
https://doaj.org/article/e71cc49ca54342abad5528aab8ce1cd3
Autor:
Wang, Ruoxi Wendy
Accurate chromosome segregation during cell division is critical to cellular fitness and survival. Errors during the segregation process often lead to aneuploidy, a state where cells harbor whole chromosome gains or losses. In untransformed cells, an
Externí odkaz:
https://hdl.handle.net/1721.1/143426
Autor:
Zhang, Yin, Wang, Ruoxi, Yao, Tiansheng, Yi, Xinyang, Hong, Lichan, Caverlee, James, Chi, Ed H., Cheng, Derek Zhiyuan
Industry recommender systems usually suffer from highly-skewed long-tail item distributions where a small fraction of the items receives most of the user feedback. This skew hurts recommender quality especially for the item slices without much user f
Externí odkaz:
http://arxiv.org/abs/2210.14309
Autor:
Samsonau, Sergey V, Kurbonova, Aziza, Jiang, Lu, Lashen, Hazem, Bai, Jiamu, Merchant, Theresa, Wang, Ruoxi, Mehnaz, Laiba, Wang, Zecheng, Patil, Ishita
We report a framework that enables the wide adoption of authentic research educational methodology at various schools by addressing common barriers. The guiding principles we present were applied to implement a program in which teams of students with
Externí odkaz:
http://arxiv.org/abs/2210.08966